See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visu
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification 一篇基于attention 机制的细粒度分类模型 细粒度是粗粒度的延深，类间差距小，类内差距大。 早期的研究中主要使用较多的人工标注来认为的定位attention
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相关文章
- 1. See Better Before Looking Closer WSDAN
- 2. Weakly Supervised Data Augmentation Net-work (WS-DAN)
- 3. WS-DAN:Weakly Supervised Data Augmentation Netowrk for Fine-Grained Visual Classification
- 4. [ParseNet]ParseNet: Looking Wider to See Better
- 5. Look Closer to See Better——细粒度分类
- 6. 《Adversarial learning for weakly-supervised social network alignment》翻译
- 7. （转）AutoML for Data Augmentation
- 8. 论文笔记：ParseNet: Looking Wider to See Better
- 9. Look Closer to See Better 梅涛大神作品
- 10. Two-Phase Learning for Weakly Supervised Object Localization